http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Methodology of improving illiteracy in P3 speller system with ICA blind detection
Jaehong Yoon,Mincheol Whang,Jungnyun Lee 한국HCI학회 2016 한국HCI학회 학술대회 Vol.2016 No.1
P3 speller is one of the most commonly used paradigm in the field of Brain Computer Interface (BCI). However, due to inherent low signal-to-noise, illiterates of this system remains unsolved. This study proposed a novel approach to overcome illiterates in P3 speller system. P3 speller paradigm with rapid serial visual presentation method was implemented to record single channel Event Related Potentials (ERP) at Fz. 8 laboratory researchers have been asked to count the number of target icon appeared when the icon prompted. Short-time Fourier transformation (STFT) was applied on recorded ERP. ICA blind detection discriminated independent components. The accuracy of system with and without ICA blind detection was compared. The average accuracy of ICA blind detection using Euclidean distance was highest but statistical difference was not found. The number of illiterates also decreased. The study has proven that ICA blind detection can effectively reduce illiterates of BCI system.
High efficiency AZO-InP nanopillar-based heterojunction solar cells
Jaehong Yoon,Soohyeon Kim,김한길,김수현,Hyungjun Kim,Han-Bo-Ram Lee 한국물리학회 2016 Current Applied Physics Vol.16 No.7
This paper reports heterojunction solar cells consisting of InP nanopillars and aluminum-doped zinc oxide (AZO). The AZO layer sputtered on an InP surface is used not only as a transparent electrode, but also as an excellent rectifying junction with InP. More importantly, the wide-bandgap-AZO functions as a window layer of solar cells, thereby suppressing carrier recombination loss at the AZO-InP heterointerface. The InP nanopillar array reduces the light reflectance and increases the optical path length of the solar cells. The AZO-InP nanopillar-based heterojunction solar cells exhibited an open-circuit voltage, short-circuit current density, fill-factor, and power-conversion efficiency of 0.68 V, 36.8 mA/cm2, 68%, and 17.1%, respectively, under air-mass 1.5 simulated solar illumination (100 mW/cm2).
Gender differences in under-reporting hiring discrimination in Korea: a machine learning approach
Yoon Jaehong,Kim Ji-Hwan,정연승,Park Jinsu,Sorensen Glorian,김승섭 한국역학회 2021 Epidemiology and Health Vol.43 No.-
OBJECTIVES: This study was conducted to examine gender differences in under-reporting hiring discrimination by building a prediction model for workers who responded “not applicable (NA)” to a question about hiring discrimination despite being eligible to answer. METHODS: Using data from 3,576 wage workers in the seventh wave (2004) of the Korea Labor and Income Panel Study, we trained and tested 9 machine learning algorithms using “yes” or “no” responses regarding the lifetime experience of hiring discrimination. We then applied the best-performing model to estimate the prevalence of experiencing hiring discrimination among those who answered “NA.” Under-reporting of hiring discrimination was calculated by comparing the prevalence of hiring discrimination between the “yes” or “no” group and the “NA” group. RESULTS: Based on the predictions from the random forest model, we found that 58.8% of the “NA” group were predicted to have experienced hiring discrimination, while 19.7% of the “yes” or “no” group reported hiring discrimination. Furthermore, we found that women workers were more likely to under-report hiring discrimination than men workers. CONCLUSIONS: This study introduces a methodological strategy for epidemiologic studies to address the under-reporting of discrimination by applying machine learning algorithms.
Formation of Ni silicide from atomic layer deposited Ni
Jaehong Yoon,Soohyeon Kim,김한길,김수현,김형준,Han-Bo-Ram Lee 한국물리학회 2016 Current Applied Physics Vol.16 No.7
The silicidation of Ni deposited by plasma-enhanced atomic layer deposition with NH3 plasma and thermal atomic layer deposition using NH3 gas were comparatively studied. A SiNx interlayer was formed between the Ni deposited by plasma-enhanced atomic layer deposition and the Si substrate due to the direct exposure of the substrate to plasma, while no interlayer was observed when using thermal atomic layer deposition. In the plasma-enhanced atomic layer deposition, the diffusion of Ni was suppressed by the SiNx interlayer, so no Ni2Si phase was formed and its formation temperature increased. Ni formed by thermal atomic layer deposition showed sequential phase transformations to Ni2Si, NiSi, and NiSi2 with increased annealing temperatures. In the nanosized contact holes, a large amount of NiSi2 was formed due to the limited supply of Ni. These results provide important information for the fabrication of silicide in nanoscale 3D devices.
Spatial and Time Domain Feature of ERP Speller System Extracted via Convolutional Neural Network
Yoon, Jaehong,Lee, Jungnyun,Whang, Mincheol Hindawi 2018 Computational intelligence and neuroscience Vol.2018 No.-
<P>Feature of event-related potential (ERP) has not been completely understood and illiteracy problem remains unsolved. To this end, P300 peak has been used as the feature of ERP in most brain–computer interface applications, but subjects who do not show such peak are common. Recent development of convolutional neural network provides a way to analyze spatial and temporal features of ERP. Here, we train the convolutional neural network with 2 convolutional layers whose feature maps represented spatial and temporal features of event-related potential. We have found that nonilliterate subjects' ERP show high correlation between occipital lobe and parietal lobe, whereas illiterate subjects only show correlation between neural activities from frontal lobe and central lobe. The nonilliterates showed peaks in P300, P500, and P700, whereas illiterates mostly showed peaks in around P700. P700 was strong in both subjects. We found that P700 peak may be the key feature of ERP as it appears in both illiterate and nonilliterate subjects.</P>
Health inequalities of 57,541 prisoners in Korea: a comparison with the general population
Seohyun Yoon,Young-Su Ju,Jaehong Yoon,Ji-Hwan Kim,Bokyoung Choi,Seung-Sup Kim 한국역학회 2021 Epidemiology and Health Vol.43 No.-
OBJECTIVES: This study aimed to examine health disparities between prisoners and the general population in Korea. METHODS: We sought to estimate the prevalence of 17 physical and mental diseases using the nationwide medication prescription dataset among the total population of prisoners (n=57,541) in Korea. Age- and sex- standardized prevalence ratios (SPRs) were estimated to compare the disease prevalence between the prisoners and the general population. The disease prevalence for the general population was calculated from the prescription dataset for a representative of the Korean population (n=926,246) from the 2013 Korean National Health Insurance Service-National Sample Cohort. Furthermore, the prevalence of these diseases was compared between prisoners and a low-income segment of the general population (n=159,781). RESULTS: Compared to the general population, prisoners had higher prevalence of almost all physical and mental diseases, including hyperlipidemia (SPR, 20.18; 95% confidence interval [CI], 19.43 to 20.94), pulmonary tuberculosis (SPR, 9.58; 95% CI, 7.91 to 11.50), diabetes (SPR, 6.13; 95% CI, 5.96 to 6.31), cancer (SPR, 2.36; 95% CI, 2.07 to 2.68), and depression (SPR, 46.73; 95% CI, 44.14 to 49.43). When compared with the low-income population segment, higher prevalence were still found among prisoners for most diseases, including pulmonary tuberculosis (SPR, 6.39; 95% CI, 5.27 to 7.67) and depression (SPR, 34.71; 95% CI, 32.79 to 36.72). CONCLUSIONS: We found that prisoners were more likely to be unhealthy than the general population, even in comparison with a low-income segment of the general population in Korea.